Skip to main content

unable to mock patch in python unittest

I have developed the logic where I am initializing a few variables but with two versions.

Initially, my code looked something like this:

session = boto3.session.Session()
client = session.client(
    service_name='secretsmanager',
    region_name="eu-west-1"
)
class MyRepo(object):

So here, I was able to mock the client directly using a patch because it wasn't an instance variable.

After I implemented dependency injection:

class MyRepo(object):
    def __init__(self, region):
        session = boto3.session.Session()
        self.client = session.client(
            service_name='secretsmanager',
            region_name=region
        )

Now, I am trying to mock the instance variable which is accessed using the self keyword i.e client.

@patch('credentials_repo.my_repo.client')
class TestSecretManagerMethod(TestCase):

However, when I run the test case it throws an error attached below:

raise AttributeError(
AttributeError: <module 'credentials_repo.my_repo' from '/Users/bgh/IdeaProjects/witboost.mesh.provisioning.outputport.snowflake/provisioner/.tox/py38/lib/python3.8/site-packages/credentials_repo/retrieve_credentials.py'> does not have the attribute 'client'

How can I mock the client? Is there any better way to do it?



source https://stackoverflow.com/questions/74880937/unable-to-mock-patch-in-python-unittest

Comments

Popular posts from this blog

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

The number of nodes and edges I calculated manually and by a method provided by networkx library dont match

I am trying to analyse a graph using networkx library in Python. I have implemented a function that returns the nodes and edges of that graph. After that I counted the number of nodes and edges by implementing the len() function for nodes and edges, which gave me 17 for both nodes and edges. However, when I used the method graph.number_of_nodes() of networkx library it gave me 53. My code: import pandas as pd import networkx as nx import matplotlib.pyplot as plt header_list = ["a","b","w"] E =pd.read_csv("aves-barn-swallow-contact-network.edges",sep=" ",header= None,names=header_list) # print(E.head()) # prints first few rows of the csv file G = nx.from_pandas_edgelist(E,"a","b",["w"]) nx.draw(G) plt.show() class GraphAnalyse: #finding nodes and edges def nodeEdge(self,Graph): nodes = Graph.nodes() edges = Graph.edges() ...